Method and Application of Deformation Performance Evaluation for Complex Components Based on Machine Learning

ObjectiveBased on the issues of high experimental costs, difficulties in quantifying evaluation methods, and low assessment accuracy in deformation performance studies of complex structural components, a machine learning-based method for evaluating component deformation performance was proposed. This method enables efficient and accurate assessment of such components' deformation behavior, which is essential for engineering applications of complex structures, particularly in scenarios with limited data.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-01-01
Primary Topic
Topology Optimization in Engineering
Type
article
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article

Method and Application of Deformation Performance Evaluation for Complex Components Based on Machine Learning

SHILAP Revista de lepidopterología
Topology Optimization in Engineering
article

Method and Application of Deformation Performance Evaluation for Complex Components Based on Machine Learning

article en

Abstract

ObjectiveBased on the issues of high experimental costs, difficulties in quantifying evaluation methods, and low assessment accuracy in deformation performance studies of complex structural components, a machine learning-based method for evaluating component deformation performance was proposed. This method enables efficient and accurate assessment of such components' deformation behavior, which is essential for engineering applications of complex structures, particularly in scenarios with limited data.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 52%
Topology Optimization in Engineering
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Method and Application of Deformation Performance Evaluation for Complex Components Based on Machine Learning · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS